Basho Blog

Basho Announces Speakers for RICON 2012

CAMBRIDGE, MA – (Marketwire – Aug 22, 2012) – Distributed systems technologies are becoming increasingly necessary to handle the demanding requirements for today’s Web, mobile and social applications and to build effective public, private, and hybrid clouds. Basho is exclusively focused on innovations that efficiently enable and support distributed architectures. Basho created RICON to bring together developers, industry experts and academics to explore and advance the use of distributed architectures in production.

Basho is proud to announce the following confirmed speaker lineup for RICON 2012, to be held October 10-11 in San Francisco, CA.

Modern Radiology for Distributed Systems – A radiological view of network-derived imagery and what it can tell companies about current systems as a whole

Keep CALM and Query On – Using the CALM Theorem to link Consistency and Logical Monotonicity, and how it can inform distributed software development

About ideel

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For more details on the speakers, sessions and registration, please visit the conference website at: www.ricon2012.com

About Basho Technologies

Basho Technologies is the leader in highly-available, distributed database technologies used to power scalable, data-intensive Web, mobile, and e-commerce applications and large cloud computing platforms. Basho customers, including fast-growing Web businesses and large Fortune 500 enterprises, use Riak to implement content delivery platforms and global session stores, to aggregate large amounts of data for logging, search, and analytics, to manage, store and stream unstructured data, and to build scalable cloud computing platforms.

Basho Technologies makes highly available, fault tolerant solutions for distributed systems that are easy to operate at scale for managing massive amounts of active, unstructured data. Riak from Basho is used by businesses to power their critical Web, mobile and social applications. The Basho Data Platform helps enterprises reduce the complexity of supporting Big Data applications.